Date:
Sun, 05/06/201112:30-13:30
Title:
Simulated Merger Trees: a new numerical approach to study galaxy evolution
Abstract:
I will present a novel approach to study galaxy evolution with numerical simulations. We combine cosmological Nbody simulations with a semi-analytical method to transform dark matter haloes merger trees into galaxy merger trees. We then evolve these merger tress for more than 10 Gyears using a full hydrodynamical code, than includes gas cooling, star formation and feedback process. We are able to attain a lower computational time and a higher spatial and mass resolution than standard zoomed hydrodynamical cosmological simulations. This allows us to study in details the dynamical evolution of galaxies.
Simulated Merger Trees: a new numerical approach to study galaxy evolution
Abstract:
I will present a novel approach to study galaxy evolution with numerical simulations. We combine cosmological Nbody simulations with a semi-analytical method to transform dark matter haloes merger trees into galaxy merger trees. We then evolve these merger tress for more than 10 Gyears using a full hydrodynamical code, than includes gas cooling, star formation and feedback process. We are able to attain a lower computational time and a higher spatial and mass resolution than standard zoomed hydrodynamical cosmological simulations. This allows us to study in details the dynamical evolution of galaxies.